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Identification of Factors that Affect the Transitio Time between CMMI Levels from Geographica Region Perspective: An Empirical Study

2011
Journal from gdlhub / 2017-08-14 11:52:31
By : Fahad H. Alshammari , Rodina Ahmad, IAJIT
Created : 2012-06-22, with 1 files

Keyword : Software process improvement; CMMI; factors; transition time; empirical study
Subject : Identification of Factors that Affect the Transitio Time between CMMI Levels from Geographica Region Perspective: An Empirical Study
Url : http://www.ccis2k.org/iajit/PDF/vol.10,no.2/5-4113.pdf
Document Source : Internet

A software industry has been more concerned about Software Process Improvement (SPI). Numerous studies have


been made in development of SPI standards and models, or to identify factors that affect SPI success. However, these studies


did not provide answers to questions about the effect of Geographical Region on the transition time between Capability


Maturity Model Integration (CMMI) levels. And why there are obvious differences in the organizations’ transition time


between CMMI levels. The objective of this research is to identify the geographical region impact on factors that can affect


the transition time between CMMI levels. We conducted 18 interviews in 15 different software companies to extract the factors


and compare these factors with what are in the literature to avoid redundancy, based on that we designed a questionnaire. We


sent out of 236 requests to participants, 92 responded from 30 companies. We asked the participants to rank each factor on a


five-point scale (high, medium, low, zero and not sure) to determine the effect of each factor. We identified 11 factors from


both data sets that are considered effective factors for the transition time between CMMI levels. And also identified one new


factor (turn over of staff) which was not identified in the literature.

Description Alternative :

A software industry has been more concerned about Software Process Improvement (SPI). Numerous studies have


been made in development of SPI standards and models, or to identify factors that affect SPI success. However, these studies


did not provide answers to questions about the effect of Geographical Region on the transition time between Capability


Maturity Model Integration (CMMI) levels. And why there are obvious differences in the organizations’ transition time


between CMMI levels. The objective of this research is to identify the geographical region impact on factors that can affect


the transition time between CMMI levels. We conducted 18 interviews in 15 different software companies to extract the factors


and compare these factors with what are in the literature to avoid redundancy, based on that we designed a questionnaire. We


sent out of 236 requests to participants, 92 responded from 30 companies. We asked the participants to rank each factor on a


five-point scale (high, medium, low, zero and not sure) to determine the effect of each factor. We identified 11 factors from


both data sets that are considered effective factors for the transition time between CMMI levels. And also identified one new


factor (turn over of staff) which was not identified in the literature.

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